CN110212527A - A kind of grid structure of power distribution network and power distribution automation collaborative planning method - Google Patents
A kind of grid structure of power distribution network and power distribution automation collaborative planning method Download PDFInfo
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- CN110212527A CN110212527A CN201910528316.0A CN201910528316A CN110212527A CN 110212527 A CN110212527 A CN 110212527A CN 201910528316 A CN201910528316 A CN 201910528316A CN 110212527 A CN110212527 A CN 110212527A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
A kind of grid structure of power distribution network and power distribution automation collaborative planning method, grid structure is planned to the outer layer as collaborative planning model, using distribution power automation terminal facility planning as the internal layer of collaborative planning model, there is interactional relationship between its internal layer and outer layer, outer layer model is responsible for proposing the feasible solution of grid structure of power distribution network, feasible solution is passed into internal layer, interior layer model is responsible for carrying out planning optimizing to distribution power automation terminal equipment on the basis of outer layer model transmits the feasible solution for the grid structure of power distribution network come, and the construction cost of distribution power automation terminal equipment and power distribution network loss of outage are passed into outer layer model, a part as outer layer model objective function, improve the planning of grid structure of power distribution network, realize the optimal case considered in the case of distribution power automation terminal facility planning.Program results of the present invention have higher power supply reliability, smaller loss of outage, grid structure of smaller power distribution network and power distribution automation equipment totle drilling cost.
Description
Technical field
The present invention relates to a kind of collaborative planning methods.It is suitable for taking into account power supply reliability and investment fortune more particularly to one kind
Grid structure of power distribution network and power distribution automation collaborative planning method of row cost.
Background technique
Since city is sharply expanded, a grid structure of load explosive growth, power distribution network is increasingly sophisticated.Meanwhile it using
The continuous promotion that family requires power supply quality, power distribution automation have received widespread attention.Power distribution automation can be in a rack
Turn power supply that automatic positioning, the isolation and non-faulting area of failure are realized on the basis of structure, improves the power supply reliability of power distribution network.
Therefore, a grid structure and secondary automation are to improve the common guarantee of distribution network reliability.
Space truss project of power distribution network and power distribution automation facility planning are carried out currently, having numerous scholars both at home and abroad
Research, establishes many typical Mathematics Models.Someone utilizes particle swarm algorithm, and it is multistage to propose a kind of new power distribution network multiple target
Section Expansion Planning model.In its target comprising investment and operation, the energy is unallocated, power loss and the voltage stabilization based on SCC
Property etc..Someone carried out based on triangle simply connected network for electric model carry out power distribution network self routing research, using ant group algorithm,
Genetic algorithm and annealing algorithm optimize grid structure of power distribution network.Someone proposes one based on traditional ant group algorithm
The new more nest ant group algorithms of kind, and it is optimal to the progress of power distribution network branched line under global angle and the more loading condictions of multi-Substation
Allocation plan.Someone studies 10kV typical distribution grid structure using difference algorithm, is with segments, project cost etc.
Influence factor carries out optimal solution using economy and reliability as target.Someone is using artificial fish-swarm algorithm with layout of roads year
The minimum objective function of comprehensive cost carries out optimum programming to distribution network structure structure.It is proposed that interannular contact and distribution
The design scheme of automation, content, which is conceived in Single-ring network, increases spare interconnection all the way to improve reliability.Someone is from matching
To the type and respective installation number of power distribution automation equipment in terms of the economy and reliability of the input and output of electric automation
It is studied.The different division of the power supply area of reliability is six classes by someone, is studied respectively different classes of power supply area
Its power distribution automation main station classification, two distant, three terminals such as distant configuration quantity.The angle of someone from Dynamic Programming is automatic to distribution
Change terminal, which is layouted, to be optimized, and considers fault outage situation, using GAMS solving model, obtains optimum results.Someone from
Reliability perspectives set out, and solve the problems, such as power distribution automation phase under different grid structures.It is proposed that a kind of
Dual-layer optimization algorithm based on dichotomy and radial line and looped network are all studied.Someone matches from engineering viewpoint consideration
The distribution of electric automation terminal proposes a kind of distribution power automation terminal method of allocation plan.One kind is established with voltage, safety
The planing method of electric current, reliability requirement objective function.The above research is grid structure of power distribution network and power distribution automation
Collaborative planning provides an important basis.
Medium voltage distribution network is the important link in urban power distribution network system, wherein a grid structure is medium voltage distribution network
Important foundation, and power distribution automation can realize the automatic positioning, isolation and non-event of failure on the basis of a grid structure
Hinder the power supply that turns in area, therefore reasonable grid structure planning and the planning of distribution power automation terminal device are power grid security reliability services
Important prerequisite.Grid structure of power distribution network has the quantity of distribution power automation terminal equipment and distribution direct or indirect
It influences, while fully considering that the effect of power distribution automation can be effectively reduced construction cost when a grid structure is planned, because
This considers that grid structure of power distribution network has a very important significance with power distribution automation collaborative planning.
Summary of the invention
The power distribution network that reliability and economy can be taken into account the technical problem to be solved by the invention is to provide one kind is primary
Grid structure and power distribution automation collaborative planning method.
The technical scheme adopted by the invention is that: a kind of grid structure of power distribution network and power distribution automation collaborative planning side
Method, which is characterized in that it is primary with power distribution network loss of outage to convert power distribution network for the construction cost of distribution power automation terminal equipment
A part of objective function in grid structure planning, so that grid structure association of distribution power automation terminal equipment and power distribution network
With planning；A grid structure is specifically planned into the outer layer as collaborative planning model, distribution power automation terminal equipment is advised
The internal layer as collaborative planning model is drawn, there is interactional relationship, outer layer between the internal layer and outer layer of collaborative planning model
Model is responsible for proposing the feasible solution of grid structure of power distribution network, feasible solution is passed to internal layer, interior layer model is responsible in outer layer
Planning optimizing is carried out to distribution power automation terminal equipment on the basis of the feasible solution for the grid structure of power distribution network that Model Transfer is come,
And the construction cost of distribution power automation terminal equipment and power distribution network loss of outage are passed into outer layer model, it is used as outer layer model mesh
A part of scalar functions improves the planning of grid structure of power distribution network, and final realize considers distribution power automation terminal equipment rule
Optimal case in the case of drawing.
2. grid structure of a kind of power distribution network according to claim 1 and power distribution automation collaborative planning method,
It is characterized in that, specifically comprising the following steps:
1) establish grid structure plan model of power distribution network, i.e., outer layer model, including by space truss project of power distribution network
Model with the minimum objective function of network year comprehensive cost and distribution system connectivity constraint, power distribution network radial structure about
Beam, load restraint and voltage constraint；
2) establish distribution automation planning model, i.e., interior layer model, including with distribution power automation terminal equipment investment construction
The minimum objective function of the sum of annual fee and interruption cost and power supply reliability constraint；
3) binary particle swarm algorithm is utilized respectively to solve grid structure plan model of power distribution network and utilize integer grain
Swarm optimization solves distribution automation planning model.
3. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method,
It is characterized in that space truss project model of power distribution network is described in step 1) with the minimum objective function of network year comprehensive cost, table
Show as follows:
MinF=Finv+Fs+Floss+Foper+Fw (1)
Wherein, FinvIndicate the years value such as construction investment expense of rack；FsIndicate that distribution power automation terminal and affiliated facility are thrown
The equal years value of money；FlossIndicate year network loss total cost；FoperIndicate the total O&M expense of year power distribution network；FwIndicate that power distribution network year has a power failure
Breakdown loss；The calculation formula of the years value such as construction investment expense of rack and year network loss total cost difference is as follows in objective function:
Floss=TCloss·Ploss (3)
Wherein, d indicates discount rate；xfl,iIndicate the state of i-th route to be built, 1 indicates construction, and 0 indicates not build；
y1Indicate distribution network structure service life；T indicates a cycle of operation hourage；ClossIndicate unit cost of losses；PlossIt indicates
Power loss；Sfl,iIndicate the unit construction cost of i-th route to be built.
4. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method,
It is characterized in that described in step 1):
(1) distribution system connectivity constraint: each load bus and other load bus and source node are formed and are got in touch with, cannot
There is isolated island situation；
(2) power distribution network radial structure constrains: domestic power distribution network is radial structure mostly, therefore to be guaranteed in planning
Network structure be it is radial, cannot have looped network；
(3) load restraint: the total load of each substation's band is limited no more than the maximum load that substation carries；
(4) voltage constrains: the voltage of load bus must within the specified scope, i.e., voltage drop is no more than specified value.
5. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method,
It is characterized in that minimum with distribution power automation terminal equipment investment construction the sum of annual fee and interruption cost described in step 2)
It is expressed as follows for objective function:
MinF=Fs+Foper+Fw (4)
Foper=(Finv+Fs)·α (6)
Fw=EENSR (7)
Wherein, FsIndicate the equal years value of distribution power automation terminal and affiliated facility investment；FoperIndicate the total O&M of year power distribution network
Expense；FwIndicate the loss of power distribution network year power-off fault；FinvIndicate the years value such as construction investment expense of rack；N1And N2It respectively indicates
Two distant terminals and three distant terminal quantities；CS2And CS3Respectively indicate two distant terminals and three distant terminal investment unit prices；J expression is invested back
Report rate；y2Indicate the service life of equipment；α indicates O&M cost ratio；EENS indicates to lack power supply volume；R indicates electricity production ratio.
6. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method,
It is characterized in that power supply reliability constraint representation described in step 2) is as follows:
Wherein, ASAI is that power distribution network is averagely powered availability, for evaluating distribution network reliability；N3Always to be used in power distribution network
Amount；N4For failed subs criber number；TfFor fault outage total time in 1 year.
7. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method,
It is characterized in that utilization binary particle swarm algorithm described in step 3) solves grid structure plan model of power distribution network, packet
It includes:
(1) it encodes, the dimension that particle in population is arranged is equal to number of, lines yet to be built, and route yet to be built is arranged by setting sequence
Whether column, n-th n-th of coded representation route yet to be built of particle are built, and 1 indicates construction, and 0 indicates not build；
(2) setting the number of iterations is 1, and the radial knot of distribution system connectivity constraint, power distribution network will be met in all particles
Grid structure of power distribution network of structure constraint, load restraint and voltage constraint passes to distribution automation planning model, and reading is matched
The distribution power automation terminal equipment investment construction annual fee and loss of outage that electric automation plan model passes back after optimizing
The sum of expense；
(3) objective function of grid structure plan model of power distribution network is calculated；
(4) using each particle in each iteration the optimal particle of objective function as individual optimal value and by all individuals
The optimal particle of objective function is as global optimum, the speed of more new particle and position in optimal value, speed more new formula with
Basic particle group algorithm is consistent, and speed more new formula and location update formula are as follows:
vi=ω vi+c1·rand(0,1)·(Pi-xi)+c2·rand(0,1)·(Pg-xi) (9)
xiFor particle current location；viFor particle present speed；c1c2For a certain constant；Rand (0,1) is between 0 to 1
Random number；PiFor locally optimal solution；PgFor globally optimal solution；Sigmoid function is a S type function:
(5) whether the particle of all updates of inspection meets distribution system connectivity constraint, power distribution network radial structure constrains,
The particle for being unsatisfactory for above-mentioned constraint is reduced to the position before particle updates by load restraint and voltage constraint；
(6) judge whether the maximum number of iterations for meeting setting, be unsatisfactory for, the number of iterations adds 1, skips to the continuation of (2) step
Circulation meets then using current globally optimal solution as the solution of grid structure plan model of power distribution network.
8. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method,
It is characterized in that utilizing integer PSO Algorithm distribution automation planning model described in step 3), comprising:
(1) it encodes, the dimension that particle in population is arranged is equal to the distribution power automation terminal number of devices of construction, due to matching
Electric automation terminal device is only built in power load near nodal, i.e., the beginning and end of every distribution line, therefore distribution
The quantity of automatization terminal equipment is equal to twice of number of, lines of distribution network construction, particle has 1 per one-dimensional value range, 2,
3 and 4 this four values, wherein 1 representative is distant without construction automatization terminal equipment, 2 representative construction block switches, 3 representative construction two
Equipment, 4 represent three distant equipment of construction；
(2) setting the number of iterations is 1, calculates the objective function for meeting the particle of power supply reliability constraint in all particles,
Using each particle in each iteration the optimal particle of objective function as individual optimal value and by mesh in all individual optimal values
For the optimal particle of scalar functions as global optimum, the speed of more new particle and position, speed more new formula and location updating are public
Formula is as follows:
vi=ω vi+c1·rand(0,1)·(Pi-xi)+c2·rand(0,1)·(Pg-xi) (12)
xiFor particle current location；viFor particle present speed；c1c2For a certain constant；Rand (0,1) is between 0 to 1
Random number；PiFor locally optimal solution；PgFor globally optimal solution；Sigmoid function is a S type function:
(3) it examines whether the particle of all updates meets power supply reliability constraint, power supply reliability constraint will be unsatisfactory for
Particle is reduced to the position before particle updates；
(4) judge whether the maximum number of iterations for meeting setting, be unsatisfactory for, the number of iterations adds 1, skips to the continuation of (2) step
Circulation, satisfaction then pass to grid structure of power distribution network for current globally optimal solution as distribution automation planning solution to model
Plan model.
A kind of grid structure of power distribution network and power distribution automation collaborative planning method of the invention, in a grid structure
Fully considered when planning power distribution automation effect can more rationally, comprehensively carry out space truss project, avoid in the planning stage
Excessively consider that power supply reliability causes Installed capital cost to increase, economy reduces；Rack and power distribution automation are coordinated
Planning can consider the influence of network structure and power distribution automation to distribution network reliability, the result tool of planning from different perspectives
Standby higher power supply reliability, smaller loss of outage, grid structure of smaller power distribution network and power distribution automation equipment are total
Cost.
Detailed description of the invention
Fig. 1 is a kind of flow chart of power distribution network grid structure and power distribution automation collaborative planning method of the present invention；
Fig. 2 is area to be planned distribution net work structure figure；
Fig. 3 is batch ticket scenario outcomes；
Fig. 4 is collaborative planning scenario outcomes.
Specific embodiment
Grid structure of a kind of power distribution network of the invention is cooperateed with power distribution automation below with reference to embodiment and attached drawing
Planing method is described in detail.
A kind of grid structure of power distribution network and power distribution automation collaborative planning method of the invention, by power distribution automation end
The construction cost and power distribution network loss of outage of end equipment are converted into one of the objective function in grid structure planning of power distribution network
Part, so that grid structure collaborative planning of distribution power automation terminal equipment and power distribution network；Specifically by a grid structure
The outer layer as collaborative planning model is planned, using distribution power automation terminal facility planning as the internal layer of collaborative planning model, association
With having interactional relationship between the internal layer and outer layer of plan model, outer layer model is responsible for proposing rack knot of power distribution network
Feasible solution is passed to internal layer by the feasible solution of structure, and interior layer model is responsible for transmitting the rack knot of power distribution network of coming in outer layer model
Planning optimizing carried out to distribution power automation terminal equipment on the basis of the feasible solution of structure, and by the construction of distribution power automation terminal equipment
Cost and power distribution network loss of outage pass to outer layer model, and a part as outer layer model objective function improves power distribution network one
The planning of secondary grid structure, it is final to realize the optimal case considered in the case of distribution power automation terminal facility planning.
Grid structure of a kind of power distribution network of the invention and power distribution automation collaborative planning method, it is specific as shown in Figure 1,
Include the following steps:
1) establish grid structure plan model of power distribution network, i.e., outer layer model, including by space truss project of power distribution network
Model with the minimum objective function of network year comprehensive cost and distribution system connectivity constraint, power distribution network radial structure about
Beam, load restraint and voltage constraint；Wherein,
Described space truss project model of power distribution network is expressed as follows with the minimum objective function of network year comprehensive cost:
MinF=Finv+Fs+Floss+Foper+Fw (1)
Wherein, FinvIndicate the years value such as construction investment expense of rack；FsIndicate that distribution power automation terminal and affiliated facility are thrown
The equal years value of money；FlossIndicate year network loss total cost；FoperIndicate the total O&M expense of year power distribution network；FwIndicate that power distribution network year has a power failure
Breakdown loss；The calculation formula of the years value such as construction investment expense of rack and year network loss total cost difference is as follows in objective function:
Floss=TCloss·Ploss (3)
Wherein, d indicates discount rate；xfl,iIndicate the state of i-th route to be built, 1 indicates construction, and 0 indicates not build；
y1Indicate distribution network structure service life；T indicates a cycle of operation hourage, and the present invention, for a cycle, was taken with 1 year
8760 hours；ClossIndicate unit cost of losses；PlossIndicate Power loss；Sfl,iIndicate that the unit of i-th route to be built is built
It is set as this.
Described:
(1) distribution system connectivity constraint: each load bus and other load bus and source node are formed and are got in touch with, cannot
There is isolated island situation；
(2) power distribution network radial structure constrains: domestic power distribution network is radial structure mostly, therefore to be guaranteed in planning
Network structure be it is radial, cannot have looped network；
(3) load restraint: the total load of each substation's band is limited no more than the maximum load that substation carries；
(4) voltage constrains: the voltage of load bus must within the specified scope, i.e., voltage drop is no more than specified value.
2) establish distribution automation planning model, i.e., interior layer model, including with distribution power automation terminal equipment investment construction
The minimum objective function of the sum of annual fee and interruption cost and power supply reliability constraint；Wherein,
Described builds the minimum target letter of the sum of annual fee and interruption cost with distribution power automation terminal equipment investment
Number is expressed as follows:
MinF=Fs+Foper+Fw (4)
Foper=(Finv+Fs)·α (6)
Fw=EENSR (7)
Wherein, FsIndicate the equal years value of distribution power automation terminal and affiliated facility investment；FoperIndicate the total O&M of year power distribution network
Expense；FwIndicate the loss of power distribution network year power-off fault；FinvIndicate the years value such as construction investment expense of rack；N1And N2It respectively indicates
Two distant terminals and three distant terminal quantities；CS2And CS3Respectively indicate two distant terminals and three distant terminal investment unit prices；J expression is invested back
Report rate；y2Indicate the service life of equipment；α indicates O&M cost ratio；EENS indicates to lack power supply volume；R indicates electricity production ratio.
The power supply reliability constraint representation is as follows:
Wherein, ASAI is that power distribution network is averagely powered availability, for evaluating distribution network reliability；N3Always to be used in power distribution network
Amount；N4For failed subs criber number；TfFor fault outage total time in 1 year.
3) binary particle swarm algorithm is utilized respectively to solve grid structure plan model of power distribution network and utilize integer grain
Swarm optimization solves distribution automation planning model, wherein
The utilization binary particle swarm algorithm solves grid structure plan model of power distribution network, comprising:
(1) it encodes, the dimension that particle in population is arranged is equal to number of, lines yet to be built, and route yet to be built is arranged by setting sequence
Whether column, n-th n-th of coded representation route yet to be built of particle are built, and 1 indicates construction, and 0 indicates not build；
(2) setting the number of iterations is 1, and the radial knot of distribution system connectivity constraint, power distribution network will be met in all particles
Grid structure of power distribution network of structure constraint, load restraint and voltage constraint passes to distribution automation planning model, and reading is matched
The distribution power automation terminal equipment investment construction annual fee and loss of outage that electric automation plan model passes back after optimizing
The sum of expense；
(3) objective function of grid structure plan model of power distribution network is calculated；
(4) using each particle in each iteration the optimal particle of objective function as individual optimal value and by all individuals
The optimal particle of objective function is as global optimum, the speed of more new particle and position in optimal value, speed more new formula with
Location update formula is as follows:
vi=ω vi+c1·rand(0,1)·(Pi-xi)+c2·rand(0,1)·(Pg-xi) (9)
xiFor particle current location；viFor particle present speed；c1c2For a certain constant；Rand (0,1) is between 0 to 1
Random number；PiFor locally optimal solution；PgFor globally optimal solution；Sigmoid function is a S type function:
(5) whether the particle of all updates of inspection meets distribution system connectivity constraint, power distribution network radial structure constrains,
The particle for being unsatisfactory for above-mentioned constraint is reduced to the position before particle updates by load restraint and voltage constraint；
(6) judge whether the maximum number of iterations for meeting setting, be unsatisfactory for, the number of iterations adds 1, skips to the continuation of (2) step
Circulation meets then using current globally optimal solution as the solution of grid structure plan model of power distribution network.
Described utilizes integer PSO Algorithm distribution automation planning model, comprising:
(1) it encodes, the dimension that particle in population is arranged is equal to the distribution power automation terminal number of devices of construction, due to matching
Electric automation terminal device is only built in power load near nodal, i.e., the beginning and end of every distribution line, therefore distribution
The quantity of automatization terminal equipment is equal to twice of number of, lines of distribution network construction, particle has 1 per one-dimensional value range, 2,
3 and 4 this four values, wherein 1 representative is distant without construction automatization terminal equipment, 2 representative construction block switches, 3 representative construction two
Equipment, 4 represent three distant equipment of construction；
(2) setting the number of iterations is 1, calculates the objective function for meeting the particle of power supply reliability constraint in all particles,
Using each particle in each iteration the optimal particle of objective function as individual optimal value and by mesh in all individual optimal values
For the optimal particle of scalar functions as global optimum, the speed of more new particle and position, speed more new formula and location updating are public
Formula is as follows:
vi=ω vi+c1·rand(0,1)·(Pi-xi)+c2·rand(0,1)·(Pg-xi) (12)
xiFor particle current location；viFor particle present speed；c1c2For a certain constant；Rand (0,1) is between 0 to 1
Random number；PiFor locally optimal solution；PgFor globally optimal solution；Sigmoid function is a S type function:
(3) it examines whether the particle of all updates meets power supply reliability constraint, power supply reliability constraint will be unsatisfactory for
Particle is reduced to the position before particle updates；
(4) judge whether the maximum number of iterations for meeting setting, be unsatisfactory for, the number of iterations adds 1, skips to the continuation of (2) step
Circulation, satisfaction then pass to grid structure of power distribution network for current globally optimal solution as distribution automation planning solution to model
Plan model.
Specific example is given below:
Example is extended rule to example using certain city part 10kV power distribution network as example, with the method for the invention
It draws.Planning region distribution network structure structure as shown in Fig. 2, including 3,35/10kV substation, capacity is 2 ×
16MVA is located at 3 power supply nodes (node 1,14 and 21).Already present load point has 43 in planning region, quasi- to increase
Load point has 17.Solid line is to have built route in Fig. 2, totally 40；Black dotted lines are that route yet to be built may be selected, and route yet to be built is total
Meter 24.Installable power distribution automation equipment includes: block switch, two distant equipment and three distant equipment.Example cost parameter is shown in
Table 1.
1 example cost parameter of table
Program results:
Batch ticket result is distinguished as shown in Figure 3 and Figure 4 with collaborative planning result.The detailed cost of two programmes is such as
Shown in table 2:
The cost of 2 two schemes of table compares
Analytical table 2: by comparing two different optimization planning schemes, it is seen that the optimum results of two schemes have certain
Difference.It can be found that the rack investment annual fee of batch ticket scheme is lower in terms of cost, the automation of collaborative planning scheme is set
It is standby lower with loss of outage annual fee, and the network year comprehensive cost of collaborative planning scheme is low compared with batch ticket scheme.Due to substep
The first step only optimizes grid structure in programme, can obtain the optimal grid structure of economy for meeting constraint condition, make rack
It is minimum to invest annual fee, but the expense of the corresponding automation equipment construction scheme of optimal grid structure is not necessarily minimum.And it assists
With objective function in programme be whole network year comprehensive cost, therefore optimization when grid structure and power distribution automation equipment it
Between can mutual feedback influence, it is minimum to be finally reached network year comprehensive cost, but wherein rack investment annual fee or automation equipment with
Interruption cost not necessarily minimum.
It can be seen that the power distribution network total length in batch ticket scheme is lower by Fig. 3 and Fig. 4, but the automation installed is set
Standby quantity is more, although and the total length of power distribution network is longer in collaborative planning scheme, be mounted with less automation equipment.It can
To give full play to effect of the grid structure in terms of improving distribution network reliability.Net in batch ticket scheme between load bus
Network is substantially nearest connection, this is also complied with using Distribution Network Frame structure economics as the optimization algorithm of objective function.
Claims (8)
1. a kind of grid structure of power distribution network and power distribution automation collaborative planning method, which is characterized in that by power distribution automation
The construction cost and power distribution network loss of outage of terminal device are converted into the objective function in grid structure planning of power distribution network
A part, so that grid structure collaborative planning of distribution power automation terminal equipment and power distribution network；Specifically by a rack knot
Structure plans outer layer as collaborative planning model, using distribution power automation terminal facility planning as the internal layer of collaborative planning model,
There is interactional relationship, outer layer model is responsible for proposing rack of power distribution network between the internal layer and outer layer of collaborative planning model
Feasible solution is passed to internal layer by the feasible solution of structure, and interior layer model is responsible for transmitting the rack of power distribution network of coming in outer layer model
Planning optimizing, and building distribution power automation terminal equipment are carried out to distribution power automation terminal equipment on the basis of the feasible solution of structure
It is set as this and passes to outer layer model with power distribution network loss of outage, a part as outer layer model objective function improves power distribution network
The planning of grid structure, it is final to realize the optimal case considered in the case of distribution power automation terminal facility planning.
2. grid structure of a kind of power distribution network according to claim 1 and power distribution automation collaborative planning method, special
Sign is, specifically comprises the following steps:
1) establish grid structure plan model of power distribution network, i.e., outer layer model, including by space truss project model of power distribution network
With the minimum objective function of network year comprehensive cost and distribution system connectivity constraint, the constraint of power distribution network radial structure, bear
Carry constraint and voltage constraint；
2) establish distribution automation planning model, i.e., interior layer model, including annual fee is built with distribution power automation terminal equipment investment
It is constrained with the minimum objective function of the sum of interruption cost and power supply reliability；
3) binary particle swarm algorithm is utilized respectively to solve grid structure plan model of power distribution network and utilize integer population
Algorithm solves distribution automation planning model.
3. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method, special
Sign is that space truss project model of power distribution network described in step 1) with the minimum objective function of network year comprehensive cost, indicates such as
Under:
MinF=Finv+Fs+Floss+Foper+Fw (1)
Wherein, FinvIndicate the years value such as construction investment expense of rack；FsIndicate what distribution power automation terminal and affiliated facility were invested
Equal years value；FlossIndicate year network loss total cost；FoperIndicate the total O&M expense of year power distribution network；FwIndicate power distribution network year power-off fault
Loss；The calculation formula of the years value such as construction investment expense of rack and year network loss total cost difference is as follows in objective function:
Floss=TCloss·Ploss (3)
Wherein, d indicates discount rate；xfl,iIndicate the state of i-th route to be built, 1 indicates construction, and 0 indicates not build；y1Table
Show distribution network structure service life；T indicates a cycle of operation hourage；ClossIndicate unit cost of losses；PlossIndicate network loss
Power；Sfl,iIndicate the unit construction cost of i-th route to be built.
4. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method, special
Sign is described in step 1):
(1) distribution system connectivity constraint: each load bus and other load bus and source node are formed and are got in touch with, there can be no
Isolated island situation；
(2) power distribution network radial structure constrains: domestic power distribution network is radial structure mostly, therefore to guarantee network in planning
Structure be it is radial, cannot have looped network；
(3) load restraint: the total load of each substation's band is limited no more than the maximum load that substation carries；
(4) voltage constrains: the voltage of load bus must within the specified scope, i.e., voltage drop is no more than specified value.
5. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method, special
Sign is to build the minimum mesh of the sum of annual fee and interruption cost described in step 2) with distribution power automation terminal equipment investment
Scalar functions are expressed as follows:
MinF=Fs+Foper+Fw (4)
Foper=(Finv+Fs)·α (6)
Fw=EENSR (7)
Wherein, FsIndicate the equal years value of distribution power automation terminal and affiliated facility investment；FoperIndicate the total operation and maintenance expenses of year power distribution network
With；FwIndicate the loss of power distribution network year power-off fault；FinvIndicate the years value such as construction investment expense of rack；N1And N2Respectively indicate two
Distant terminal and three distant terminal quantities；CS2And CS3Respectively indicate two distant terminals and three distant terminal investment unit prices；J indicates investment repayment
Rate；y2Indicate the service life of equipment；α indicates O&M cost ratio；EENS indicates to lack power supply volume；R indicates electricity production ratio.
6. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method, special
Sign is that power supply reliability constraint representation described in step 2) is as follows:
Wherein, ASAI is that power distribution network is averagely powered availability, for evaluating distribution network reliability；N3For number of users total in power distribution network；
N4For failed subs criber number；TfFor fault outage total time in 1 year.
7. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method, special
Sign is that utilization binary particle swarm algorithm described in step 3) solves grid structure plan model of power distribution network, comprising:
(1) it encoding, the dimension that particle in population is arranged is equal to number of, lines yet to be built, route yet to be built arranged by setting sequence,
Whether n-th n-th of coded representation route yet to be built of particle is built, and 1 indicates construction, and 0 indicates not build；
(2) setting the number of iterations is 1, distribution system connectivity constraint, power distribution network radial structure will be met in all particles about
Grid structure of power distribution network of beam, load restraint and voltage constraint passes to distribution automation planning model, reads distribution certainly
The distribution power automation terminal equipment investment construction annual fee and interruption cost that dynamicization plan model passes back after optimizing
The sum of；
(3) objective function of grid structure plan model of power distribution network is calculated；
(4) using each particle, the optimal particle of objective function is optimal as individual optimal value and by all individuals in each iteration
The optimal particle of objective function is as global optimum, the speed of more new particle and position in value, speed more new formula and basic
Particle swarm algorithm is consistent, and speed more new formula and location update formula are as follows:
vi=ω vi+c1·rand(0,1)·(Pi-xi)+c2·rand(0,1)·(Pg-xi) (9)
xiFor particle current location；viFor particle present speed；c1 c2For a certain constant；Rand (0,1) is random between 0 to 1
Number；PiFor locally optimal solution；PgFor globally optimal solution；Sigmoid function is a S type function:
(5) examine whether the particle of all updates meets distribution system connectivity constraint, the constraint of power distribution network radial structure, load
The particle for being unsatisfactory for above-mentioned constraint is reduced to the position before particle updates by constraint and voltage constraint；
(6) judge whether the maximum number of iterations for meeting setting, be unsatisfactory for, the number of iterations adds 1, skips to (2) step and continues to follow
Ring meets then using current globally optimal solution as the solution of grid structure plan model of power distribution network.
8. grid structure of a kind of power distribution network according to claim 2 and power distribution automation collaborative planning method, special
Sign is to utilize integer PSO Algorithm distribution automation planning model described in step 3), comprising:
(1) it encodes, the dimension that particle in population is arranged is equal to the distribution power automation terminal number of devices of construction, certainly due to distribution
Dynamicization terminal device is only built at power load near nodal, i.e., the beginning and end of every distribution line, therefore distribution is automatic
The quantity of change terminal device is equal to twice of the number of, lines of distribution network construction, and particle has 1,2,3 and 4 per one-dimensional value range
This four are worth, wherein the no construction automatization terminal equipment of 1 representative, 2 representatives build block switches, two distant equipment are built in 3 representatives,
4 represent three distant equipment of construction；
(2) setting the number of iterations is 1, calculates the objective function for meeting the particle of power supply reliability constraint in all particles, will be every
A particle in each iteration the optimal particle of objective function as individual optimal value and by target letter in all individual optimal values
The optimal particle of number is as global optimum, the speed of more new particle and position, and speed more new formula and location update formula are such as
Under:
vi=ω vi+c1·rand(0,1)·(Pi-xi)+c2·rand(0,1)·(Pg-xi) (12)
xiFor particle current location；viFor particle present speed；c1 c2For a certain constant；Rand (0,1) is random between 0 to 1
Number；PiFor locally optimal solution；PgFor globally optimal solution；Sigmoid function is a S type function:
(3) it examines whether the particle of all updates meets power supply reliability constraint, the particle of power supply reliability constraint will be unsatisfactory for
It is reduced to the position before particle updates；
(4) judge whether the maximum number of iterations for meeting setting, be unsatisfactory for, the number of iterations adds 1, skips to (2) step and continues to follow
Ring meets and then passes to grid structure rule of power distribution network for current globally optimal solution as distribution automation planning solution to model
Draw model.
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